Using Thematic Network Analysis

Author(s):  
Juliet Goldbart ◽  
Julie Marshall
2018 ◽  
Author(s):  
Brian M. Green ◽  
Kaitlyn Van Horn ◽  
Ketki Gupta ◽  
Amrita Bhowmick ◽  
Michael Booth

BACKGROUND Online health communities (OHC) can be a powerful tool to facilitate communication among patients, professionals and family members who live with or care for someone with a chronic health condition(s). Health Union LLC’s OHC model engages, empowers and encourages people to take an active role in their health by providing content that aligns with their needs and interests and by cultivating a safe environment where communication, understanding and meaningful relationships can thrive. OHCs included in this study target people living with multiple sclerosis, migraine, IBS, rheumatoid arthritis, lung cancer, and prostate cancer. OBJECTIVE Using qualitative methods we sought to determine if constructs in the Health Union OHC model are supported by themes identified in OHC participant comments. Key components of the model to be tested include: content tailored to needs of community, facilitation, and encouragement of social support, active moderation, opportunities for active and passive engagement, and transparency of community norms and rules. METHODS A sample of over 5800 comments exported from over 40 Facebook posts from 6 OHCs was analyzed using the Dedoose qualitative data analysis software. Comments from these Facebook posts were extracted, imported into Dedoose software and coded. Interrater reliability of initial coding was calculated using Pearson Correlation Coefficient. An exploratory approach was taken in the analysis and initial codes were grouped into thematic categories and then confirmed through thematic network/framework analysis using the Dedosse software tool. Thematic categories were compared for similarity and differences for each of the 6 OHCs, original post type, and by the extent of active moderation evident in each comment thread. RESULTS Qualitative thematic network analysis of posts and comments from 6 OHCs correspond to the primary components of the Health Union OHC model. This analysis suggests that the structural elements of the OHC model, including active site moderation, support high levels of community engagement and information sharing and mutual support of OHC participants. CONCLUSIONS Qualitative data from the 6 OHCs demonstrates the positive impact the community has on participants, often helping them reframe their health care experience and coping strategies. The principle of adaptive engagement is demonstrated by the thematic network analysis and illustrates the Health Union OHC model constructs. Different community segments have different patterns of engagement. Our primary focus on the content of participant comments in this analysis is a current limitation. While we also examine more passive methods of liking and sharing posts utilized by OHC participants, these may warrant further analysis. This study has practical significance as it helps to demonstrate the value of online health communities for people living with chronic health conditions by providing meaningful engagement, support, and information in an accessible environment.


Youth Justice ◽  
2019 ◽  
Vol 19 (2) ◽  
pp. 137-157 ◽  
Author(s):  
Sharynne L. Hamilton ◽  
Tracy Reibel ◽  
Rochelle Watkins ◽  
Raewyn C. Mutch ◽  
Natalie R. Kippin ◽  
...  

Little is known about the challenges non-custodial youth detention centre staff face supporting young people with foetal alcohol spectrum disorder (FASD). We undertook qualitative inquiry to identify and describe the perspectives of non-custodial staff detention staff regarding the value of an FASD prevalence study. Data were collected using semi-structured interviews and focus groups and analysed using thematic network analysis. Staff held few concerns about the prevalence study and its impact on participating young people; however, they identified barriers related to study processes, and practices and culture within their workplace, which hindered gaining maximum benefit from the research and its findings.


2018 ◽  
Author(s):  
Brian M. Green ◽  
Katelyn Tente Van Horn ◽  
Ketki Gupte ◽  
Amrita Bhowmick

BACKGROUND Online health communities (OHC) can be a powerful tool to facilitate communication among patients, professionals and family members who live with or care for someone with a chronic health condition(s). Health Union LLC’s OHC Adaptive Engagement Model engages, empowers and encourages people to take an active role in their health. OHCs included in this study are for people living with multiple sclerosis, migraine, IBS, rheumatoid arthritis, lung cancer, and prostate cancer. OBJECTIVE This research uses qualitative methods to identify themes supporting the constructs of the Health Union OHC model.  Key components of the model to be tested include: content tailored to needs of community, facilitation and encouragement of social support, active moderation, opportunities for active and passive engagement, and transparency of community norms and rules. METHODS A sample of over 5,800 comments exported from over 40 Facebook posts from 6 OHCs was analyzed using the Dedoose™ qualitative data analysis software. Comments from these Facebook posts were extracted, imported into Dedoose™ software and coded. Interrater reliability of initial coding was calculated using Pearson’ Correlation Coefficient. An exploratory approach was taken in the analysis and initial codes were grouped into thematic categories and then confirmed through thematic network analysis using the Dedoose™ software tool. Thematic categories were compared for similarity and differences for each of the 6 OHCs, and by content descriptive category. RESULTS Qualitative thematic network analysis of posts and comments from 6 OHCs correspond to the primary components of the Health Union OHC Adaptive Engagement Model.  This analysis suggests that the structural elements of the model, including active site moderation, support high levels of community engagement and information sharing and mutual support of OHC participants. CONCLUSIONS Qualitative data from the 6 OHCs demonstrate the positive impact the community has on participants, often helping them reframe their healthcare experience and coping strategies. The principle of adaptive engagement is demonstrated by the thematic network analysis and illustrates the Health Union OHC Adaptive Engagement Model constructs. Different community segments have different patterns of was. This study has practical significance as it helps to demonstrate the value of online health communities for people living with chronic health conditions by providing meaningful engagement, support, and information in an accessible environment.


Author(s):  
Komalsingh Rambaree ◽  
Elisabeth Faxelid

Social research carried out through the use of new media technologies can generate large volumes of qualitative data. A systematic and rigorous approach is therefore important in analysing large volumes of qualitative data. Computer-aided qualitative data analysis programmes—such as Atlas-ti 6.2—have managed to facilitate the process of data analysis, to some extent. However, researchers remain central in designing and deciding how the qualitative data gathered as evidence from the field are to be analysed, interpreted, and presented. Within this context, this chapter aims to consider Abductive Thematic Network Analysis (ATNA) with Atlas-ti 6.2 as a systematic way of carrying out qualitative data analysis. A data set from a study on Adolescent Sexual and Reproductive Health is used as an example for facilitating the explanation on the steps in carrying out, and for providing an illustration of the outcome of, ATNA. The objectives of this chapter are to make a brief presentation of abductive approach to social research, describe ATNA, and demonstrate the techniques for such an analysis using Atlas-ti 6.2. The chapter concludes that ATNA can be a useful systematic way to proceed with qualitative data analysis that can be facilitated by the use of Atlas-ti 6.2.


2017 ◽  
Vol 55 (1) ◽  
pp. 40-59
Author(s):  
Avekadavie Parasramsingh Mano

AbstractResearch into sex trafficking is considerably lacking despite its increasing global relevance. The trafficking in human beings has been documented within the literature as a form of modern-day slavery. It is commonly described as a form of organized crime that is highly profitable, involving the active participation of corrupt officials, politicians, financial institutions and criminal networks that facilitate document forgery, illegal border crossings, money laundering and the return of escaped victims. This paper discusses the thematic network analysis of recently collected qualitative data on sex trafficking in Belize. Jennifer Attride-Stirling’s (2001) thematic network analysis was applied to data gathered from face-to-face, semi-structured interviews with four distinct groups within the sex industry: sex traffickers, sex workers, clients and knowledgeable locally based officials Given the expansive nature of this research, thematic network analysis has been advanced to accommodate the specificities of each group, creating what has been termed here as asupra-global theme. This innovative approach facilitates the emergence of a deeper, more pertinent understanding of the intrinsic realities characteristic of Belize’s sex industry and may be applied to similar multi-group research.


Author(s):  
Babatunde Femi Akinyode ◽  
Tareef Hayat Khan

The application of qualitative techniques is increasing and acceptable among the researchers. However, majority of the researchers and postgraduate students did not consider the importance of giving detailed procedures in qualitative data analysis for better understanding of the qualitative results. There is a need to uncover step by step approach in qualitative analysis for better application of qualitative techniques. This article presented a detailed step-by-step approach for qualitative analysis with the aid of a pragmatic illustration. The analytic process presented employed the example of qualitative data transcribed into narrative data to develop basic themes. The employment of Domain Analysis and Thematic Network analysis in the example given helped basic themes to converge to higher order themes. The article submitted that this approach in qualitative analysis will aid thorough understanding of qualitative data interpretation. This is extremely thoughtful approach for the systematic presentation of qualitative analysis.


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